Live Virtual Machine Migration for Big Memory Applications

Research Project

Project/Area Number	15K15967
Research Category	Grant-in-Aid for Young Scientists (B)
Allocation Type	Multi-year Fund
Research Field	Software
Research Institution	Tokyo University of Agriculture and Technology
Principal Investigator	Yamada Hiroshi 東京農工大学, 工学(系)研究科(研究院), 准教授 (00571572)
Project Period (FY)	2015-04-01 – 2017-03-31
Project Status	Completed (Fiscal Year 2016)
Budget Amount *help	¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000) Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000) Fiscal Year 2015: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywords	仮想マシン移送 / ビッグメモリアプリケーション / 仮想マシンモニタ / GPU
Outline of Final Research Achievements	This research explores mechanisms for live migration suitable for virtual machines with big memory applications. The proposal mechanism leverages GPGPU programming techniques sophisticated in the high performance community. We implement a prototype on Xen 4.2.1 and conduct several experiments using real-world applications including PostgreSQL and Memcached. The experimental results show that migration time of our prototype is up to 16.7x shorter than that of the regular live migration on Xen.

Report

(3 results)